Multi-Task DRL for Rate Control in RIS-Assisted Multi-Cell Dual-Connectivity HetNets-Reference-Cited by-同舟云学术

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Multi-Task DRL for Rate Control in RIS-Assisted Multi-Cell Dual-Connectivity HetNets

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Alwarafy Abdulmalik¹,Abdallah Mohamed¹,Al-Dhahir Naofal²,Khattab Tamer³,Hamdi Mounir¹

Affiliation:

1. College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar

2. Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas,Electrical and Computer Engineering Department,USA

3. Qatar University,Electrical Engineering,Doha,Qatar

Funder

Qatar National Research Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001735.pdf?arnumber=10001735

Reference14 articles.

1. Optimizing Wireless Communication Systems

2. Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

3. A Survey of Multi-Task Deep Reinforcement Learning

4. Congestion Control in SDN-Based Networks via Multi-Task Deep Reinforcement Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Multi-Connectivity Handover Algorithm in Heterogeneous Cellular Networks by Graph-to-Sequence Reinforcement Learning;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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